think CRAN would accept the package?
Richard
On Thu, Mar 1, 2012 at 5:35 PM, Dirk Eddelbuettel wrote:
>
> Richard,
>
> On 1 March 2012 at 15:36, Dirk Eddelbuettel wrote:
> |
> | Hi Richard,
> |
> | On 1 March 2012 at 16:25, Richard Chandler wrote:
> | | Hi,
> | |
&g
Hi,
I am trying to call Rdqags (from R_ext/Applic.h) in a C++ program that
uses RcppArmadillo. Everything seems to work fine except the compiler
warns about conflicts. Is there a way to avoid these conflicts? Could
they cause any unforeseen problems? Below is a self-contained example
illustrating
You can turn it off by setting the following environment variable
CYGWIN=nodosfilewarning
Richard
On Fri, Oct 14, 2011 at 10:39 AM, Dirk Eddelbuettel wrote:
>
> Hi Kent,
>
> On 14 October 2011 at 16:00, Jian Kang wrote:
> | Hi, Dirk,
> |
> | Sorry for delay.
> |
> | I tried to install the R
Hi,
I would like to do something like this:
src.cube <- "
arma::cube a = as(aR);
return wrap(a);
"
fx <- cxxfunction(signature(aR="array"), src.cube, plugin="RcppArmadillo")
fx(array(1:27, c(3,3,3)))
But it fails. Can someone suggest a good alternative? I tried to create the
cube on
You could also use this:
Summing3 <- cxxfunction(signature(x="numeric"), '
Rcpp::NumericVector Dvec(x);
double out = sum(Dvec);
return Rcpp::wrap(out);
',plugin="Rcpp")
x <- rnorm(100)
Summing3(x); sum(x)
Richard
On Mon, Jan 3, 2011 at 11:04 AM, Cedric Ginestet <
c.gineste...@go
glas Bates
> wrote:
> > On Mon, Dec 27, 2010 at 6:57 AM, Richard Chandler
> > wrote:
> >> Hi,
> >>
> >> I am trying to speed up a vectorized R function without much luck.
> Perhaps
> >> it is not possible, but if it is could someone suggest
Hi,
I am trying to speed up a vectorized R function without much luck. Perhaps
it is not possible, but if it is could someone suggest how to improve the
C++/Rcpp code below? The speed is approximately equal on a 64-bit version of
R, but the R code is much faster when using 32-bit R (on windows). H
- runif(3)
isTRUE(all.equal(
array(fx5(0:4, omega, gamma), c(5,5,3)),
fxR5(0:4, omega, gamma))) # TRUE
On Thu, Aug 5, 2010 at 9:55 AM, Richard Chandler
wrote:
> Thanks so much Romain, I like that sugar, and Rcpp has made my work
> much easier. I have one more qu
Thanks so much Romain, I like that sugar, and Rcpp has made my work
much easier. I have one more question if anyone is willing to
entertain it. My end goal was to replace the binomial probability 0.5
with a vector (omega), and the poisson mean 1.5 with a vector (gamma).
This would result in bpsum b
Doug and Dirk, thanks, those are extremely helpful suggestions.
As for cmin, that was a mistake on my part. It should have been: cmin
= seq_len(K[i]+1). I think I know why it worked both ways, but I need
to investigate.
Regarding the different results you got Dirk, I noticed that you
declared lam
Hi,
I wrote my first Rcpp/C++ program in hopes of speeding up an R
function, but alas it is slower. I think the C++ program is slower
because I have made heavy use of dbinom and dpois from R. Is there a
way to do this without calling back to R? Are there any other obvious
ways to speed up the C++
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